Defense Date

2012

Document Type

Thesis

Degree Name

Master of Science

Department

Mathematical Sciences

First Advisor

Angela Reynolds

Abstract

Gonnorrhea is an infectious sexually transmitted disease (STD) caused by the bacterium Neisseria gonorrhoeae that commonly reproduces in the reproductive tract.The Centers of Disease Control and Prevention (CDC) estimate that more than 700,000 individuals in the U.S. contract new gonorrheal infections per year. During recent years, there has been a progressive global increase of drug-resistant strains of gonorrhea. Therefore, there exists the necessity for health organizations to encourage the monitoring, research and development of innovative treatment regimens. We have developed multiple mathematical models to explore the gonorrheal disease state. The first objective of model formulation was to fit the model to established disease and population data provided by the CDC and U.S. Census Bureau and then include the presence of antibiotic resistance in the model. Additionally, we discuss intervention methods to combat this resistance. The second objective of model formulation was to use parameter sensitivity to determine specific age groups to target in effort to alter disease dynamics.

Rights

© The Author

Is Part Of

VCU University Archives

Is Part Of

VCU Theses and Dissertations

Date of Submission

May 2012

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